Vitis vinifera
Ontology highlight
ABSTRACT:
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| DRR093288.fastq.gz | Fastqsanger.gz | |||
| DRR093289.fastq.gz | Fastqsanger.gz | |||
| DRR093290.fastq.gz | Fastqsanger.gz | |||
| DRR093291.fastq.gz | Fastqsanger.gz | |||
| DRR093292.fastq.gz | Fastqsanger.gz |
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Project description:Bud endodormancy induction response of two genotypes (Seyval, a hybrid white wine grape and Vitis riparia, PI588259, a native North American grape species) was compared under long (15 h) and short (13 h) photoperiods. Proteins were extracted from both genotypes for all time points and experimental conditions. The proteins were separaed by 2D-PAGE, trypsin digested, and the peptides identified with a MALDI-TOF-TOF mass spectrometer. A master gel was made and mapped with all proteins from both genotypes. The proteins were identified by matching the peptide sequences against the 8X Vitis vinifera grape genome in NCBI. This study was funded by NSF grant DBI064755 and is the result of a collaboration between Dr. Anne Fennell at South Dakota State University and Dr. Grant R. Cramer at the University of Nevada, Reno.
2010-08-09 | PRD000169 | Pride
Project description:We applied the RNA-Seq approach to reconstruct the transcriptome of Vitis vinifera cv. Corvina, using RNA pooled from a comprehensive set of sampled tissues in different organs and development steps, and we were able to reconstruct some novel and putative private Corvina genes. We analyzed the expression of these genes in three berry developmental conditions, and posit that they may play some role in the formation of the mature organ. Background: Plants display a high genetic and phenotypic variability among different cultivars. Understanding the genetic components that contribute to phenotypic diversity is necessary to disentangle genetic factors from the environment. Given the high degree of genetic diversity among plant cultivars a whole-genome sequencing and re-annotation of each variety is required but a reliable genome assembly is hindered by the high heterozigosity and sequence divergence. Results: we show the feasibility of an approach based on sequencing of cDNA by RNA-Seq to analyze varietal diversity between a local grape cultivar Corvina and the PN40024 grape reference genome. We detected 15,260 known genes and we annotated alternative splicing isoforms for 9,463 genes. Our approach allowed to define 2,321 protein coding putative novel genes in unannotated or unassembled regions of the reference genome PN40024 and 180 putative private Corvina genes whose sequence is not shared with the reference genome. Conclusions: With a de novo assembly based approach we were able to reconstruct a substantial part of the Corvina transcriptome and we improved substantially known genes annotations by better defining the structure of known genes, annotating splicing isoforms and detecting unannotated genes. Moreover our results clearly define sets of private genes which are likely part of the âdispensableâ genome and potentially involved into influencing some cultivar-specific characteristics. In plant biology a transcriptome de novo assembly approach should not be limited to species where no reference genome is available as it can improve the annotation lead to the identification of genes peculiar of a cultivar.
2012-07-30 | E-MTAB-4220 | biostudies-arrayexpress
Project description:We used Illumina RNA-Seq technology to carry out digital gene expression profiling of Dormant and non dormant buds of Shine Muscat Cultivar.127 pathways were annotated by Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis, and metabolic, biosynthesis of secondry metabolite and. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis demonstrated that DEGs were involved in various metabolic processes, including phytohormone metabolism. The newly generated transcriptome and gene expression profiling data provide valuable genetic information for revealing transcriptomic variation during dormant and non dormant period in Grapevine and ultimately helpful in uplifting of table grape industry.
2017-03-08 | GSE77119 | GEO
Project description:White grape (Vitis vinifera cv. Furmint) berry samples subjected to natural noble rot were collected in a vineyard in Mád, Hungary (Tokaj wine region). Raw data include grapevine and Botrytis cinerea sequence reads.
2021-11-25 | E-MTAB-11205 | biostudies-arrayexpress
Project description:Transcriptome analysis during seed development provides insights into co-regulated and altered gene expression between a seeded wine grape variety and it seedless somatic variant.
| PRJNA248771 | ENA
Project description:Background: Grape cultivars and wines are distinguishable by their color, flavor and aroma profiles. Omic analyses (transcripts, proteins and metabolites) are powerful tools for assessing biochemical differences in biological systems. Results: Berry skins of red- (Cabernet Sauvignon, Merlot, Pinot Noir) and white-skinned (Chardonnay, Semillon) wine grapes were harvested near optimum maturity from the same experimental vineyard and ˚Brix-to-titratable acidity ratio. Identical sample aliquots were analyzed for transcripts by grapevine whole-genome oligonucleotide microarray and RNA-seq technologies, proteins by nano-liquid chromatography-mass spectroscopy, and metabolites by gas chromatography-mass spectroscopy and liquid chromatography-mass spectroscopy. Principal components analysis of each of five Omic technologies showed similar results across cultivars in all Omic datasets. Comparison of the processed data of genes mapped in RNA-seq and microarray data revealed a strong Pearson's correlation (0.80). The exclusion of probesets associated with genes with potential for cross-hybridization on the microarray improved the correlation to 0.93. The overall concordance of protein with transcript data was low with a Pearson's correlation of 0.27 and 0.24 for the RNA-seq and microarray data, respectively. Integration of metabolite with protein and transcript data produced an expected model of phenylpropanoid biosynthesis, which distinguished red from white grapes, yet provided detail of individual cultivar differences. Conclusions: The five Omic technologies were consistent in distinguishing cultivar variation. There was high concordance between transcriptomic technologies, but generally protein abundance did not correlate well with transcript abundance. The integration of multiple high-throughput Omic datasets revealed complex biochemical variation amongst five cultivars of an ancient and economically important crop species.
2015-11-12 | GSE72421 | GEO
Project description:Transcript and metabolite analysis in Trincadeira cultivar reveals novel information regarding the dynamics of grape ripening
| PRJNA138677 | ENA
Project description:Grapevine cluster compactness is a multi-componential trait of agronomical interest; it greatly influences the vineyard management and the visual aspect of table grape. Clusters with greater compactness are more susceptible to disease. The compactness can be break down in a patchwork of agronomical traits, each having agronomical importance that includes parameters related to inflorescence and cluster architecture (cluster length and width, length of pedicels, etc.), fruitfulness (number of berries, number of seeds) and berry (size, shape, volume...). Through visual evaluation of a collection of 730 clones from the cultivar Tempranillo and 501 clones from Garnacha Tinta we identified and fully phenotyped distinct clones which transcriptomes were compared at key developmental stages in order to identify the genes playing a role in mechanisms involved in cluster compactness such as the ones determining number of berries, cluster length or berry size. Key genes involved in this process were identified. The findings lead us to hypothesize that berry size and/or number at ripening are greatly influenced by the rate of cell replication in flowers during the first stages after pollination.
2015-08-31 | GSE67708 | GEO
Project description:Perturbation of polyamine catabolism affects normal grape ripening of Trincadeira cultivar
| PRJNA192250 | ENA